Matthew J. Patitz

1.6k total citations
33 papers, 257 citations indexed

About

Matthew J. Patitz is a scholar working on Mechanical Engineering, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Matthew J. Patitz has authored 33 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mechanical Engineering, 30 papers in Molecular Biology and 13 papers in Computational Theory and Mathematics. Recurrent topics in Matthew J. Patitz's work include Modular Robots and Swarm Intelligence (31 papers), DNA and Biological Computing (30 papers) and Advanced biosensing and bioanalysis techniques (17 papers). Matthew J. Patitz is often cited by papers focused on Modular Robots and Swarm Intelligence (31 papers), DNA and Biological Computing (30 papers) and Advanced biosensing and bioanalysis techniques (17 papers). Matthew J. Patitz collaborates with scholars based in United States, Canada and France. Matthew J. Patitz's co-authors include Scott M. Summers, Robert Schweller, David Doty, Damien Woods, Erik D. Demaine, Jack H. Lutz, Andrew Winslow, Jennifer E. Padilla, Nadrian C. Seeman and Xingsi Zhong and has published in prestigious journals such as Computers & Chemical Engineering, Theoretical Computer Science and Lecture notes in computer science.

In The Last Decade

Matthew J. Patitz

26 papers receiving 231 citations

Peers

Matthew J. Patitz

MB

ME

CTM

CNC

BE

Scott M. Summers United States

Dustin Reishus United States

Hansol Choi South Korea

Philipp L. Antkowiak Switzerland

Tseren-Onolt Ishdorj Mongolia

Christopher N. Takahashi United States

Katsunobu Imai Japan

Manuel García–Quismondo Spain

Pierluigi Frisco Netherlands

Bogdan Aman Romania

Scott M. Summers United States

Matthew J. Patitz

229 ×1.0

MB

203 ×1.0

ME

83 ×1.2

CTM

14 ×0.6

CNC

11 ×0.5

BE

Citations per year, relative to Matthew J. Patitz Matthew J. Patitz (= 1×) peers Scott M. Summers

Countries citing papers authored by Matthew J. Patitz

Since Specialization

Citations

This map shows the geographic impact of Matthew J. Patitz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew J. Patitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Patitz more than expected).

Fields of papers citing papers by Matthew J. Patitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Patitz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew J. Patitz. The network helps show where Matthew J. Patitz may publish in the future.

Co-authorship network of co-authors of Matthew J. Patitz

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Patitz. A scholar is included among the top collaborators of Matthew J. Patitz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew J. Patitz. Matthew J. Patitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Patitz, Matthew J., et al.. (2024). Universal shape replication via self-assembly with signal-passing tiles. Natural Computing. 23(4). 627–664. 1 indexed citations

2.

Patitz, Matthew J., et al.. (2021). Self-Replication via Tile Self-Assembly. arXiv (Cornell University). 1 indexed citations

3.

Ford, David M., et al.. (2020). Machine learning to identify variables in thermodynamically small systems. Computers & Chemical Engineering. 141. 106989–106989. 3 indexed citations

4.

Patitz, Matthew J., et al.. (2017). Hierarchical self-assembly of fractals with signal-passing tiles. Natural Computing. 17(1). 47–65. 2 indexed citations

5.

Kari, Lila, et al.. (2016). Binary Pattern Tile Set Synthesis Is NP-Hard. Algorithmica. 78(1). 1–46. 2 indexed citations

6.

Patitz, Matthew J., et al.. (2015). Computing in continuous space with self-assembling polygonal tiles (extended abstract). 937–956.

7.

Patitz, Matthew J., et al.. (2015). Doubles and negatives are positive (in self-assembly). Natural Computing. 15(1). 69–85. 2 indexed citations

8.

Patitz, Matthew J., et al.. (2014). Intrinsic universality in tile self-assembly requires cooperation. arXiv (Cornell University). 752–771. 20 indexed citations

9.

Padilla, Jennifer E., et al.. (2014). Signal transmission across tile assemblies: 3D static tiles simulate active self-assembly by 2D signal-passing tiles. Natural Computing. 14(2). 251–264. 6 indexed citations

10.

Patitz, Matthew J., et al.. (2013). Tile Assembly Simulator: A Software Package for Tile-Based Algorithmic Self-Assembly. 27–28. 1 indexed citations

11.

Doty, David, Jack H. Lutz, Matthew J. Patitz, et al.. (2012). The Tile Assembly Model is Intrinsically Universal. 302–310. 33 indexed citations

12.

Demaine, Erik D., Matthew J. Patitz, Robert Schweller, & Scott M. Summers. (2011). Self-Assembly of Arbitrary Shapes Using RNAse Enzymes: Meeting the Kolmogorov Bound with Small Scale Factor. 2 indexed citations

13.

Demaine, Erik D., Matthew J. Patitz, Robert Schweller, & Scott M. Summers. (2011). Self-Assembly of Arbitrary Shapes Using RNAse Enzymes: Meeting the Kolmogorov Bound with Small Scale Factor (Extended Abstract). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 201–212. 18 indexed citations

14.

Patitz, Matthew J. & Scott M. Summers. (2010). Identifying Shapes Using Self-assembly - (Extended Abstract).. arXiv (Cornell University). 458–469.

15.

Patitz, Matthew J. & Scott M. Summers. (2010). Self-assembly of infinite structures: A survey. Theoretical Computer Science. 412(1-2). 159–165. 1 indexed citations

16.

Doty, David, Matthew J. Patitz, & Scott M. Summers. (2010). Limitations of self-assembly at temperature 1. Theoretical Computer Science. 412(1-2). 145–158. 23 indexed citations

17.

Doty, David, Matthew J. Patitz, Dustin Reishus, Robert Schweller, & Scott M. Summers. (2010). Strong Fault-Tolerance for Self-Assembly with Fuzzy Temperature. 417–426. 15 indexed citations

18.

Patitz, Matthew J. & Scott M. Summers. (2010). Self-assembly of decidable sets. Natural Computing. 10(2). 853–877. 11 indexed citations

19.

Doty, David, Jack H. Lutz, Matthew J. Patitz, Scott M. Summers, & Damien Woods. (2010). Intrinsic Universality in Self-Assembly. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 11 indexed citations

20.

Demaine, Erik D., Matthew J. Patitz, Robert Schweller, & Scott M. Summers. (2010). Self-Assembly of Arbitrary Shapes with RNA and DNA tiles (extended abstract). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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